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πŸ“šData Structures

β€œ For solving any real world problem with a programming approach we need a suitable data structure. A data structure is a way to store and organize data in a computer,so that it can be used efficiently in terms of time and space”

Data Structures.

Big-O complexities of common Data structure & Algorithm

Graph Algorithm

πŸ“šAlgorithms

Algorithms

In software development we have two phases:-

  • Design

  • Implementation

  • For designing any kind of software we should have a blueprint for that, i.e we can not develop any software on hit and trial basis.

  • Algorithm:- Algorithm is step by step procedure do solve any kind of computational problem & It is the core of computer science.

  • There is certain point about algorithm:-

  • Algorithm is written at design time.

  • For writing any effective one should have Proper domain Knowledge.

  • Algorithm is language independent.

  • And it is independent of Hardware & OS.

  • We are doing priori analysis when writing algorithms.

  • Mainly we are considering Time & Space function. Rather than that we are checking for Network Consumption/Data Transfer, Power consumption and Consumption of CPU Register.

  • characteristics of Algorithm :-

    1. Input
    1. Output
    1. Definiteness(Every Statement should be clear and understandable)
    1. Finiteness(Algorithm must terminate at some time)
    1. Effectiveness(Don’t write unnecessary steps)
    1. Independent(It can be implemented in any programming language).
  • πŸ“˜ Time Complexity and Problems

  • πŸ“˜ Divide & Conquer

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